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Guo Quan Neural Network Deep Learning

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域名年龄:10年9个月9天 注册日期:2013年12月11日 到期时间:2017年12月11日
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guoquan.net

域名年龄: 10年9个月9天
注册时间: 2013-12-11
到期时间: 2017-12-11
注册商: ENOM, INC.
注册邮箱: GUOQUANSCU
联系电话: +86.15928007350

获取时间: 2016年12月03日 20:29:35
Domain Name: GUOQUAN.NET
Registrar: ENOM, INC.
Sponsoring Registrar IANA ID: 48
Whois Server: whois.enom.com
Referral URL: http://www.enom.com
Name Server: APPLE.NS1.ANQUANBAO.COM
Name Server: APPLE.NS2.ANQUANBAO.COM
Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Updated Date: 2016-10-25
Creation Date: 2013-12-11
Expiration Date: 2017-12-11

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Domain Name: GUOQUAN.NET
Registry Domain ID: 1838750717_DOMAIN_NET-VRSN
Registrar WHOIS Server: whois.enom.com
Registrar URL: www.enom.com
Updated Date: 2015-11-27T05:13:29.00Z
Creation Date: 2013-12-11T12:00:00.00Z
Registrar Registration Expiration Date: 2017-12-11T12:00:55.00Z
Registrar: ENOM, INC.
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Domain Status: clientTransferProhibited https://www.icann.org/epp#clientTransferProhibited
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Registrant Name: QUAN GUO
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Registrant Street: SCU WANGJIANG CAMPUS
Registrant City: CHENGDU
Registrant State/Province: SC
Registrant Postal Code: 610000
Registrant Country: CN
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Admin Name: QUAN GUO
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Admin State/Province: SC
Admin Postal Code: 610000
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Tech Name: QUAN GUO
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Tech Postal Code: 610000
Tech Country: CN
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guoquan.com
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guoquan.org
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guoquan.cn
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抓取时间:2017年03月12日 15:59:03
网址:http://www.guoquan.net/
标题:Blah Blah
关键字:Guo Quan, Neural Network, Deep Learning
描述:GUO Quan not blah blah every day.
主体:

郭泉 | GUO Quannot blah blah every day我 | About我是郭泉，中国四川大学计算机学院机器智能实验室的博士生，导师是章毅教授。我分别于2013年和2010年在四川大学获得了理学硕士和工学学士学位。请查看简历、GitHub页面、领英页面以及谷歌学术页面。I am Quan Guo, currently a Ph.D. student in Machine Intelligence Lab at College of Computer Science, Sichuan University,China, supervised by Professor Zhang Yi.  I also received my Master's degree and Bachelor's degree from Sichuan University in 2013 and 2010 respectively.Check the CV, GitHub profile, the LinkedIn profile, and the Google Scholar page.研究兴趣 | Research Interest机器智能 | Machine Intelligence认知科学 | Cognitive Science神经科学 | Neuroscience神经网络 | Neural Networks回复式神经网络 | Recurrent Neural Networks深度学习 | Deep Learning近期论文 | Recent Publications2017Z. Yi, Q. Guo, and J. Wang, "Big data analysis using neural networks," Advanced Engineering Sciences, vol. 49, iss. 1, pp. 9-18, 2017. [BibTeX][Download PDF]@ARTICLE{zhang2017aes,author={Zhang Yi and Quan Guo and Jianyong Wang},journal={Advanced Engineering Sciences},title={Big data analysis using neural networks},year={2017},volume={49},number={1},pages={9-18},url={http://dx.doi.org/10.15961/j.jsuese.2017.01.002},}2016Q. Guo, H. Zhang, and Z. Yi, "High-Order Measurements for Residual Classifiers," IEEE Transactions on Neural Networks and Learning Systems, Online Early Access, 2016. [BibTeX][Download PDF]@ARTICLE{quan2016tnnls,author={Quan Guo and Haixian Zhang and Zhang Yi},journal={IEEE Transactions on Neural Networks and Learning Systems},title={High-Order Measurements for Residual Classifiers},year={2016},url={http://dx.doi.org/10.1109/TNNLS.2016.2515128},}Q. Guo, J. Jia, G. Shen, L. Zhang, L. Cai, and Z. Yi, "Learning Robust Uniform Features for Cross-media Social Data by Using Cross Autoencoders," Knowledge-Based Systems, vol. 102, pp. 64-75, 2016. [BibTeX][Download PDF]@ARTICLE{quan2016kbs,author={Quan Guo and Jia Jia and Guangyao Shen and Lei Zhang and Lianhong Cai and Zhang Yi},journal={Knowledge-Based Systems},title={Learning Robust Uniform Features for Cross-media Social Data by Using Cross Autoencoders},year={2016},volume={102},pages={64-75},url={http://dx.doi.org/10.1016/j.knosys.2016.03.028},}Y. Sun, H. Mao, Q. Guo, and Z. Yi, "Learning a good representation with unsymmetrical auto-encoder," Neural Computing and Applications, vol. 27, iss. 5, pp. 1361–1367, 2016. [BibTeX][Download PDF]@ARTICLE{yanan2016nca,author={Yanan Sun and Hua Mao and Quan Guo and Zhang Yi},journal={Neural Computing and Applications},title={Learning a good representation with unsymmetrical auto-encoder},year={2016},volume={27},number={5},pages={1361–1367},url={http://dx.doi.org/10.1007/s00521-015-1939-3},}K. Li, Q. Guo, and J. Guo, "Novel Algorithms for Reducing Bladder Volume Estimation Error Caused by Scanning Positions," International Journal of Computer Mathematics, Online Early Access, 2016. [BibTeX][Download PDF]@ARTICLE{kang2016ijcm,author={Kang Li and Quan Guo and Jixiang Guo},journal={International Journal of Computer Mathematics},title={Novel Algorithms for Reducing